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JRM Vol.34 No.2 pp. 240-248
doi: 10.20965/jrm.2022.p0240
(2022)

Letter:

Durable Pneumatic Artificial Muscles with Electric Conductivity for Reliable Physical Reservoir Computing

Ryo Sakurai*, Mitsuhiro Nishida*, Taketomo Jo*, Yasumichi Wakao**, and Kohei Nakajima***

*Soft-Robotics Business Development Department, Bridgestone Corporation
3-1-1 Ogawahigashi-cho, Kodaira, Tokyo 187-0031, Japan

**Advanced Materials Division, Bridgestone Corporation
3-1-1 Ogawahigashi-cho, Kodaira, Tokyo 187-0031, Japan
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

Received:
December 6, 2021
Accepted:
January 27, 2022
Published:
April 20, 2022
Keywords:
soft robotics, pneumatic artificial muscles, pneumatic actuator, physical reservoir computing, reservoir computing
Abstract
Durable Pneumatic Artificial Muscles with Electric Conductivity for Reliable Physical Reservoir Computing

Schematic diagram of (a) RC and (b) PAM PRC

A McKibben-type pneumatic artificial muscle (PAM) is a soft actuator that is widely used in soft robotics, and it generally exhibits complex material dynamics with nonlinearity and hysteresis. In this letter, we propose an extremely durable PAM containing carbon black aggregates and show that its dynamics can be used as a computational resource based on the framework of physical reservoir computing (PRC). By monitoring the information processing capacity of our PAM, we verified that its computational performance will not degrade even if it is randomly actuated more than one million times, which indicates extreme durability. Furthermore, we demonstrate that the sensing function can be outsourced to the soft material dynamics itself without external sensors based on the framework of PRC. Our study paves the way toward reliable information processing powered by soft material dynamics.

Cite this article as:
Ryo Sakurai, Mitsuhiro Nishida, Taketomo Jo, Yasumichi Wakao, and Kohei Nakajima, “Durable Pneumatic Artificial Muscles with Electric Conductivity for Reliable Physical Reservoir Computing,” J. Robot. Mechatron., Vol.34, No.2, pp. 240-248, 2022.
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